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Introduction to Statistics in Pharmaceutical Clinical Trials

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Description

This book is a self-contained introduction to Statistics, presented in the context of clinical trials and pharmaceutical drug development. It specializes in the statistical analyses most commonly used in drug development and is subsequently an ideal introduction to pharmaceutical statistics. Instead of introducing a series of statistical techniques, the book’s organizational structure follows the order in which numerical information and statistical analyses are used in trials and new drug development.All students taking classes in pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application and importance of Statistics. They wish to take note:why, and how data are collected in clinical trials; how these data are summarized and analyzed; what the results mean in the context of the clinical research question; and, how the results are communicated to regulatory agencies and to scientific and medical communities.This title subsequently adopts a unique approach and concept in organization of the content. It begins with an introduction to statistical theory, analysis and interpretation. This is followed by a discussion of t-tests and confidence intervals. Readers are then taken through the whole process of new drug development (the use of one specific example All the way through) that is meaningful in the context of their broader studies. All the way through this process, statistical techniques and analyses are introduced in the order in which they’re employed throughout the process.The book’s realistic scientific and progressive organization from pre-clinical trials to clinical pharmacology through clinical trials is novel, meaningful and educationally powerful. The book emphasises the importance of descriptive statistics in addition to inferential statistics, something that is rarely done.Supplementary material is included for this text on the PharmPress website in the form of PowerPoint lecture notes on Statistics (based on content of this book) that may be downloaded by lecturers.

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